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Record W4383218610 · doi:10.1089/trgh.2022.0087

Exogenous Hormone Use Among Transfeminine Individuals in Chiang Mai, Thailand

2023· article· en· W4383218610 on OpenAlexafffund
Malvina N. Skorska, Pongpun Saokhieo, Lindsey T. Thurston, Lindsay A. Coome, Oranitcha Kaewthip, Suwat Chariyalertsak, Doug P. VanderLaan

Bibliographic record

VenueTransgender Health · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsDiscontinuationHormoneMedicinePharmacyChiang maiDemographyPhysiologyInternal medicineFamily medicine

Abstract

fetched live from OpenAlex

Purpose: This study describes Thai transfeminine individuals' exogenous hormone use. Methods: =181) who reported their exogenous hormone use, age at onset of use, brands used, where they obtained hormones, and discontinuation of use. Results: Most participants (86.74%) used exogenous hormones. The mean (standard deviation) age of onset of use was 16.59 (3.79) years. A range of 1-15 brands with varying chemical composition were used. Hormones were typically procured from pharmacies (91.39%) and seldom physician prescribed (8.61%). Discontinuing use for 6 or more months was common (59.62%). Conclusions: Gender-affirming health care beginning in adolescence for Thai transfeminine individuals is needed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.116
GPT teacher head0.381
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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